I’ve been a bit unsure about how personal this blog ought to be, and what qualifies as “significant” enough to post. A lot of changes are coming up soon for me, though, and this feels like a good place to document.
There were all sorts of tips and tricks about applying to grad school that I was only able to learn about via office hours, personal meetings, and Twitter DMs, and I thought it would be worth publicly compiling some lessons learned.
In a few different roles over the past few years, I’ve come across the problem of programatically generating some kind of PDF reports from data. Here are some tips/tricks I’ve come across while making that happen.
Model stacking is an ensembling technique that involves training a model to combine the outputs of many diverse statistical models. The stacks package implements a grammar for tidymodels-aligned model stacking.